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Senior DevOps Engineer
Alexander Thamm [at]
full-time
Posted on:
Location Type: Hybrid
Location: Berlin • Germany
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Job Level
About the role
- Collaborate with clients to implement, operate, and optimize ML solutions
- Take responsibility for the successful deployment and management of machine learning models
- Plan, develop, test, automate, document, and maintain CI/CD pipelines
- Leverage the latest advancements in automation, monitoring, and scalability
Requirements
- Successfully completed degree in Computer Science, Data Science, or a comparable qualification
- Fluent German, both spoken and written
- Minimum of 2 years of full-time professional experience
- Experience with cloud services such as AWS and/or Azure
- Experience with container orchestration, e.g., Kubernetes, Helm
- Infrastructure as Code experience, e.g., Terraform or AWS CloudFormation
- Familiarity with CI/CD pipelines
- Good scripting skills in Python or Shell
- Strong problem-solving skills and the ability to work independently
Benefits
- Work–life balance with trust-based working hours
- Hybrid work model and workation — option to work from another EU country
- Annual team workshop
- Childcare subsidy
- Company pension plan with a 20% employer contribution
- Numerous corporate benefits & employee offers (e.g., for events and travel)
- Competitive salary with variable components
- Mental health & wellbeing support and coaching
- Fitness and yoga rooms at the Munich office
- Rooftop terrace (barbecue)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningCI/CD pipelinescloud servicesKubernetesHelmTerraformAWS CloudFormationPythonShell scriptingautomation
Soft Skills
problem-solvingindependencecollaboration
Certifications
degree in Computer Sciencedegree in Data Science